metadata
language: es
tags:
- Spanish
- BART
- Legal
datasets:
- Spanish-legal-corpora
BART Legal Spanish ⚖️
BART Legal (base) is an BART-like model trained on A collection of corpora of Spanish legal domain.
BART is a transformer encoder-decoder (seq2seq) model with a bidirectional (BERT-like) encoder and an autoregressive (GPT-like) decoder. BART is pre-trained by (1) corrupting text with an arbitrary noising function and (2) learning a model to reconstruct the original text.
This model is particularly effective when fine-tuned for text generation tasks (e.g., summarization, translation) but also works well for comprehension tasks (e.g., text classification, question answering).
Training details
TBA
Model details ⚙
TBA
Evaluation metrics (for discriminator) 🧾
| Metric | # Score |
|---|---|
| Accuracy | 0.955 |
| Precision | 0.790 |
| AUC | 0.971 |
Benchmarks 🔨
WIP 🚧
How to use with transformers
TBA
Acknowledgments
TBA
Citation
If you want to cite this model, you can use this:
@misc {manuel_romero_2023,
author = { {Manuel Romero} },
title = { bart-legal-base-es (Revision 27bc9e1) },
year = 2023,
url = { https://huggingface.co/mrm8488/bart-legal-base-es },
doi = { 10.57967/hf/0467 },
publisher = { Hugging Face }
}
Created by Manuel Romero/@mrm8488
Made with ♥ in Spain